4903 search results - page 314 / 981 » The Set Covering Machine |
190
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
158
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
163
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its...
159
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
145
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce a novel algorithm for decision tree learning in the multi-instance setting as originally defined by Dietterich et al. It differs from existing multi-instance tree lea...